Gustavious P. Williams

Affiliations: 
Civil Engineering Brigham Young University, Provo, UT, United States 
Area:
Civil Engineering, Water Resource Management, Environmental Engineering
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"Gustavious Williams"
Cross-listing: E-Tree

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Publications

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Evans SW, Jones NL, Williams GP, et al. (2020) Groundwater Level Mapping Tool: An open source web application for assessing groundwater sustainability Environmental Modelling and Software. 131: 104782
Williams GP, Walton AC. (2019) Method for Estimating Sediment Mass Movement from Delta Recutting: A Case Study Using Single Beam Sonar in Deer Creek Reservoir Water. 11: 2222
Qiao X, Nelson EJ, Ames DP, et al. (2019) A systems approach to routing global gridded runoff through local high-resolution stream networks for flood early warning systems Environmental Modelling and Software. 120: 104501
Roberts W, Williams GP, Jackson E, et al. (2018) Hydrostats: A Python Package for Characterizing Errors between Observed and Predicted Time Series Hydrology. 5: 66
Hansen CH, Williams GP. (2018) Evaluating Remote Sensing Model Specification Methods for Estimating Water Quality in Optically Diverse Lakes throughout the Growing Season Hydrology. 5: 62
Olsen J, Williams G, Miller A, et al. (2018) Measuring and Calculating Current Atmospheric Phosphorous and Nitrogen Loadings to Utah Lake Using Field Samples and Geostatistical Analysis Hydrology. 5: 45
Abu-Hmeidan HY, Williams GP, Miller AW. (2018) Characterizing Total Phosphorus in Current and Geologic Utah Lake Sediments: Implications for Water Quality Management Issues Hydrology. 5: 8
Williams DA, Nelsen B, Berrett C, et al. (2018) A comparison of data imputation methods using Bayesian compressive sensing and Empirical Mode Decomposition for environmental temperature data Environmental Modelling & Software. 102: 172-184
Hansen CH, Burian SJ, Dennison PE, et al. (2017) Spatiotemporal Variability of Lake Water Quality in the Context of Remote Sensing Models Remote Sensing. 9: 409
Hansen CH, Williams GP, Adjei Z. (2015) Long-Term Application of Remote Sensing Chlorophyll Detection Models: Jordanelle Reservoir Case Study Natural Resources. 6: 123-129
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